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Some New Random Effect Models for Correlated Binary Responses

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Tounkara F., Rivest L.-P.

Dependence Modeling

2014

tom 2

nr 1

Exchangeable copulas are used to model an extra-binomial variation in Bernoulli experiments with a variable number of trials. Maximum likelihood inference procedures for the intra-cluster correlation are constructed for several copula families. The selection of a particular model is carried out using the Akaike information criterion (AIC). Profile likelihood confidence intervals for the intra-cluster correlation are constructed and their performance are assessed in a simulation experiment. The sensitivity of the inference to the specification of the copula family is also investigated through simulations. Numerical examples are presented.

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1 Dependence Modeling

1 Rivest L.-P.

1 Tounkara F.

1 2014

Wyniki wyszukiwania

Some New Random Effect Models for Correlated Binary Responses